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市场调查报告书
商品编码
1941179

汽车手势姿态辨识市场－全球产业规模、份额、趋势、机会及预测（依技术、应用、区域及竞争格局划分，2021-2031年）

Automotive Gesture Recognition Market - Global Industry Size, Share, Trends Opportunity, and ForecastSegmented. Segmented By Technology, By Application, By Region & Competition, and By Competition. 2021-2031F
出版日期: | 出版商: TechSci Research | 英文 180 Pages | 商品交期: 2-3个工作天内

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简介目录

全球汽车手势姿态辨识市场预计将从 2025 年的 22.2 亿美元成长到 2031 年的 32.6 亿美元，复合年增长率达到 6.61%。

该行业致力于开发非接触式人机互动系统，将特定的身体和手部动作转化为操作车辆功能的指令。推动这一成长的关键因素包括：需要透过最大限度地减少驾驶员分心来提高道路安全，以及现代数位驾驶座中日益普及的直觉控制功能。这项技术的应用与汽车产业的整体成长趋势相符。正如欧洲汽车製造商协会所指出的，到2024年，全球汽车销售将达到7,460万辆，这将为将先进的内装技术整合到未来的车型中奠定坚实的基础。

市场概览
预测期 2027-2031
市场规模：2025年 22.2亿美元
市场规模：2031年 32.6亿美元
复合年增长率：2026-2031年 6.61%
成长最快的细分市场 基于触摸的手势
最大的市场 北美洲

然而，市场扩张的主要障碍在于高成本以及在各种环境条件下确保感测器稳定运行的技术复杂性。诸如光照变化和复杂的手部动作等因素都会降低辨识精度，从而导致使用者满意度下降。因此，製造商往往将这些系统限制在高阶车型领域。这些经济和功能上的障碍共同限制了其在大众市场的普及，使其难以成为入门级和中檔车型的标准配备。

市场驱动因素

政府为提高驾驶安全、减少驾驶分心而製定的严格法规，正推动手势姿态辨识系统在汽车领域的广泛应用。监管机构日益敦促製造商采用非接触式介面，以最大限度地减少实体触控萤幕带来的视觉和操作干扰。这些技术使驾驶员能够透过简单的手势控制导航和通讯功能，从而将注意力集中在路面上。近期事故统计数据凸显了这项转变的必要性。根据美国国家公路交通安全管理局 (NHTSA) 2024 年 4 月发布的《交通安全事实调查笔记》，2022 年美国因分心驾驶造成的交通事故将导致 3308 人死亡，这促使汽车製造商加快步伐，优先采用手势控制技术，以满足安全标准并提升车辆安全评级。

同时，智慧座舱技术的兴起正在推动内装设计的变革，其核心在于直觉、非接触式的操作体验。随着汽车向软体定义平台演进，人们对响应速度堪比消费性电子产品的智慧人机互动介面的需求日益增长。这一趋势也反映在供应商的业绩表现上。 2024年1月，LG电子宣布其汽车零件解决方案部门2023年的年销售额将达到10.1兆韩元，主要得益于车载资讯娱乐系统的需求成长。向电气化的转型进一步加速了这一融合进程，先进的内装设计成为关键卖点。根据国际能源总署（IEA）2024年的数据，2023年全球将新增约1,400万辆电动车，这将为这些先进识别系统的应用创造大规模的生态系统。

市场挑战

全球汽车手势姿态辨识市场的主要障碍在于其高昂的成本和技术复杂性，而这些成本和技术复杂性是确保感测器可靠运作所必需的。发展一个能够在光照和阴影等环境因素变化的情况下准确解读复杂手部动作的系统，需要大量的研发投入。这种技术上的不稳定性会导致用户在指令无法识别时满意度较低，迫使製造商将其限制在高阶车型上，以便透过更高的售价来抵消开发成本。因此，入门级和中阶车型无法实现大规模市场整合所需的规模经济效益。

克服这些技术挑战带来的经济负担十分沉重，减缓了经济型解决方案在市场上的广泛应用。这种庞大的资金需求体现在整个产业数位化的支出上。根据德国汽车工业协会 (VDA) 2024 年发布的报告，製造商和供应商计划在 2024 年至 2028 年间在全球范围内投资约 2800 亿欧元用于研发，其中数位化和自动化是重点领域。如此巨额的支出凸显了限製手势姿态辨识等先进介面技术应用于高阶车型的经济壁垒，阻碍了该技术实现大规模产。

市场趋势

多模态人机互动介面的兴起正在改变使用者互动，它整合了手势控制、语音指令和眼动追踪等技术，从而减少歧义。这些整合系统不再仅仅依赖手势，而是利用视线方向和语音指令等上下文线索来检验驾驶员的意图，显着降低了单一模式配置中常见的误报率。这种复杂性需要强大的运算平台，这一点从对能够处理同步输入的高级数位底盘解决方案日益增长的需求中可见一斑。例如，高通公司在2024年7月的公布财报上公布了8.11亿美元的汽车业务收入，这表明支撑这种多层互动基础的整合式数位驾驶座技术正在迅速普及。

同时，基于雷达的感测技术，特别是毫米波技术的应用，正逐渐成为光学摄影机在侦测微小动作方面的可行替代方案。与在低光源环境下性能不佳或有隐私问题的摄影机系统不同，雷达感测器能够精确检测各种材质和环境下的细微手指动作和生命体征。这种向非光学监控的转变显着提升了对专用于处理高频感测器资料的汽车半导体的需求。英飞凌科技于2024年8月宣布，其汽车事业部第三季销售额达到21.1亿欧元，这主要得益于用于这些尖端车内监控架构的微控制器和感测器的强劲销售，这也像征着这一行业转型。

目录

第一章概述

第二章调查方法

第三章执行摘要

第四章：客户评价

第五章 全球汽车手势姿态辨识市场展望

  • 市场规模及预测
    • 按金额
  • 市占率及预测
    • 透过科技（触控手势姿态辨识、非接触手势姿态辨识）
    • 按应用领域（多媒体/资讯娱乐/导航、照明系统、其他）
    • 按地区
    • 按公司（2025 年）
  • 市场地图

6. 北美汽车手势姿态辨识市场展望

  • 市场规模及预测
  • 市占率及预测
  • 北美洲：国家分析
    • 我们
    • 加拿大
    • 墨西哥

7. 欧洲汽车手势姿态辨识市场展望

  • 市场规模及预测
  • 市占率及预测
  • 欧洲：国家分析
    • 德国
    • 法国
    • 英国
    • 义大利
    • 西班牙

8. 亚太地区汽车手势姿态辨识市场展望

  • 市场规模及预测
  • 市占率及预测
  • 亚太地区：国家分析
    • 中国
    • 印度
    • 日本
    • 韩国
    • 澳洲

9. 中东和非洲汽车手势姿态辨识市场展望

  • 市场规模及预测
  • 市占率及预测
  • 中东和非洲：国家分析
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 南非

第十章 南美洲汽车手势姿态辨识市场展望

  • 市场规模及预测
  • 市占率及预测
  • 南美洲：国家分析
    • 巴西
    • 哥伦比亚
    • 阿根廷

第十一章 市场动态

  • 司机
  • 任务

第十二章 市场趋势与发展

  • 併购
  • 产品发布
  • 最新进展

第十三章 全球汽车手势姿态辨识市场：SWOT分析

第十四章：波特五力分析

  • 产业竞争
  • 新进入者的可能性
  • 供应商电力
  • 顾客权力
  • 替代品的威胁

第十五章 竞争格局

  • Cipia Vision Ltd.
  • Cognitec Systems GmbH
  • Continental AG
  • NXP Semiconductors
  • Qualcomm Technologies, Inc.
  • Samsung Electronics Co., Ltd
  • Sony Corporation
  • Synaptics Incorporated
  • Usens Inc
  • Visteon Corporation.

第十六章 策略建议

第十七章：关于研究公司及免责声明

简介目录
Product Code: 16300

The Global Automotive Gesture Recognition Market is projected to expand from USD 2.22 Billion in 2025 to USD 3.26 Billion by 2031, achieving a compound annual growth rate of 6.61%. This industry focuses on creating contactless human-machine interface systems that translate specific body or hand motions into commands for operating vehicle features. Key factors fueling this growth include the imperative to improve road safety by minimizing driver distraction and the rising incorporation of intuitive control mechanisms within contemporary digital cockpits. This technological adoption corresponds with the broader growth of the automotive sector; as noted by the European Automobile Manufacturers' Association in 2024, global car sales hit 74.6 million units, establishing a widening platform for integrating advanced interior technologies in upcoming vehicle models.

Market Overview
Forecast Period2027-2031
Market Size 2025USD 2.22 Billion
Market Size 2031USD 3.26 Billion
CAGR 2026-20316.61%
Fastest Growing SegmentTouch-based Gesture
Largest MarketNorth America

Nevertheless, a major obstacle hindering widespread market growth is the high cost and technical complexity involved in ensuring consistent sensor functionality across varying environmental conditions. Issues such as fluctuating lighting or intricate hand movements can result in unreliable recognition, leading to user dissatisfaction and prompting manufacturers to restrict these systems to luxury vehicle segments. This combination of economic and functional hurdles limits adoption in the mass market, preventing the technology from establishing itself as a standard offering in entry-level and mid-range automobiles.

Market Driver

Stringent government mandates aimed at enhancing driver safety and mitigating distraction serve as a major impetus for the uptake of automotive gesture recognition systems. Regulatory authorities are increasingly urging manufacturers to adopt contactless interfaces that minimize the visual-manual interference typically associated with physical touchscreens. By enabling drivers to operate navigation and communication features via simple hand gestures, these technologies help maintain focus on the road. The necessity of this transition is highlighted by recent crash statistics; according to the National Highway Traffic Safety Administration's April 2024 'Traffic Safety Facts Research Note', distraction-related accidents caused 3,308 deaths in the United States in 2022, prompting automakers to prioritize gesture controls as a strategy to comply with safety standards and boost vehicle safety ratings.

Concurrently, the rise of smart cabin technologies is transforming interior designs to prioritize intuitive, touchless interactions. As vehicles evolve into software-defined platforms, there is growing demand for human-machine interfaces that offer responsiveness comparable to consumer electronics. This trend is evident in supplier achievements; LG Electronics reported in January 2024 that its Vehicle component Solutions Company reached an annual revenue of KRW 10.1 trillion for 2023, largely fueled by demand for in-vehicle infotainment. This integration is further accelerated by the shift toward electrification, where advanced interiors are a primary selling point. As per the International Energy Agency in 2024, almost 14 million new electric cars were registered globally in 2023, providing a substantial ecosystem for the implementation of these sophisticated recognition systems.

Market Challenge

The main obstacle restraining the Global Automotive Gesture Recognition Market is the significant expense and technical intricacy needed to guarantee reliable sensor operation. Engineering systems capable of accurately translating complicated hand movements amidst variable environmental factors, such as changing lighting or shadows, necessitates substantial research and development investment. This technical instability frequently leads to user dissatisfaction when commands are not recognized, forcing manufacturers to limit these features to luxury models where higher price tags can offset development expenditures. As a result, this prevents the achievement of economies of scale required for mass-market integration within entry-level and mid-range vehicle categories.

The financial strain associated with surmounting these technical difficulties is immense, slowing the pace at which affordable solutions can be introduced to the wider market. The magnitude of this capital requirement is reflected in the industry's broad spending on digital advancement. According to the German Association of the Automotive Industry (VDA) in 2024, manufacturers and suppliers planned to invest roughly €280 billion in research and development globally between 2024 and 2028, with a major emphasis on digitalization and automation. This colossal expenditure highlights the economic hurdle that restricts advanced interface technologies like gesture recognition to high-end vehicles, thereby impeding the market's potential for extensive volumetric expansion.

Market Trends

The shift toward multimodal human-machine interfaces is transforming user interaction by integrating gesture control with voice commands and gaze tracking to decrease ambiguity. Instead of depending exclusively on hand movements, these unified systems use contextual cues from eye direction or verbal instructions to verify driver intent, significantly reducing the false positives often found in single-modality setups. This level of complexity necessitates robust computing platforms, as seen in the growing need for advanced digital chassis solutions capable of processing simultaneous inputs. For instance, Qualcomm reported in its July 2024 earnings release that it generated $811 million in automotive revenue, indicating a surge in the adoption of integrated digital cockpit technologies that sustain these multi-layered interaction frameworks.

At the same time, the implementation of radar-based sensing, specifically millimeter-wave technology, is gaining traction as a practical substitute for optical cameras in detecting micro-motions. Unlike camera systems that may falter in low light or raise privacy issues, radar sensors offer precise detection of subtle finger gestures and vital signs across diverse materials and environmental settings. This move toward non-optical monitoring is fueling substantial demand for specialized automotive semiconductors designed to handle high-frequency sensor data. Highlighting this industrial shift, Infineon Technologies announced in August 2024 that its Automotive segment reached €2.11 billion in revenue for the third quarter, supported by strong sales of the microcontrollers and sensors required for these cutting-edge interior monitoring architectures.

Key Market Players

  • Cipia Vision Ltd.
  • Cognitec Systems GmbH
  • Continental AG
  • NXP Semiconductors
  • Qualcomm Technologies, Inc.
  • Samsung Electronics Co., Ltd
  • Sony Corporation
  • Synaptics Incorporated
  • Usens Inc
  • Visteon Corporation.

Report Scope

In this report, the Global Automotive Gesture Recognition Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Automotive Gesture Recognition Market, By Technology

  • Touch-based Gesture Recognition
  • Touchless Gesture Recognition

Automotive Gesture Recognition Market, By Application

  • Multimedia/Infotainment/Navigation
  • Lighting Systems
  • Others

Automotive Gesture Recognition Market, By Region

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • France
    • United Kingdom
    • Italy
    • Germany
    • Spain
  • Asia Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
  • South America
    • Brazil
    • Argentina
    • Colombia
  • Middle East & Africa
    • South Africa
    • Saudi Arabia
    • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Automotive Gesture Recognition Market.

Available Customizations:

Global Automotive Gesture Recognition Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
    • 1.2.3. Key Market Segmentations

2. Research Methodology

  • 2.1. Objective of the Study
  • 2.2. Baseline Methodology
  • 2.3. Key Industry Partners
  • 2.4. Major Association and Secondary Sources
  • 2.5. Forecasting Methodology
  • 2.6. Data Triangulation & Validation
  • 2.7. Assumptions and Limitations

3. Executive Summary

  • 3.1. Overview of the Market
  • 3.2. Overview of Key Market Segmentations
  • 3.3. Overview of Key Market Players
  • 3.4. Overview of Key Regions/Countries
  • 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Automotive Gesture Recognition Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Technology (Touch-based Gesture Recognition, Touchless Gesture Recognition)
    • 5.2.2. By Application (Multimedia/Infotainment/Navigation, Lighting Systems, Others)
    • 5.2.3. By Region
    • 5.2.4. By Company (2025)
  • 5.3. Market Map

6. North America Automotive Gesture Recognition Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Technology
    • 6.2.2. By Application
    • 6.2.3. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States Automotive Gesture Recognition Market Outlook
      • 6.3.1.1. Market Size & Forecast
        • 6.3.1.1.1. By Value
      • 6.3.1.2. Market Share & Forecast
        • 6.3.1.2.1. By Technology
        • 6.3.1.2.2. By Application
    • 6.3.2. Canada Automotive Gesture Recognition Market Outlook
      • 6.3.2.1. Market Size & Forecast
        • 6.3.2.1.1. By Value
      • 6.3.2.2. Market Share & Forecast
        • 6.3.2.2.1. By Technology
        • 6.3.2.2.2. By Application
    • 6.3.3. Mexico Automotive Gesture Recognition Market Outlook
      • 6.3.3.1. Market Size & Forecast
        • 6.3.3.1.1. By Value
      • 6.3.3.2. Market Share & Forecast
        • 6.3.3.2.1. By Technology
        • 6.3.3.2.2. By Application

7. Europe Automotive Gesture Recognition Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Technology
    • 7.2.2. By Application
    • 7.2.3. By Country
  • 7.3. Europe: Country Analysis
    • 7.3.1. Germany Automotive Gesture Recognition Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Technology
        • 7.3.1.2.2. By Application
    • 7.3.2. France Automotive Gesture Recognition Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Share & Forecast
        • 7.3.2.2.1. By Technology
        • 7.3.2.2.2. By Application
    • 7.3.3. United Kingdom Automotive Gesture Recognition Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Share & Forecast
        • 7.3.3.2.1. By Technology
        • 7.3.3.2.2. By Application
    • 7.3.4. Italy Automotive Gesture Recognition Market Outlook
      • 7.3.4.1. Market Size & Forecast
        • 7.3.4.1.1. By Value
      • 7.3.4.2. Market Share & Forecast
        • 7.3.4.2.1. By Technology
        • 7.3.4.2.2. By Application
    • 7.3.5. Spain Automotive Gesture Recognition Market Outlook
      • 7.3.5.1. Market Size & Forecast
        • 7.3.5.1.1. By Value
      • 7.3.5.2. Market Share & Forecast
        • 7.3.5.2.1. By Technology
        • 7.3.5.2.2. By Application

8. Asia Pacific Automotive Gesture Recognition Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Technology
    • 8.2.2. By Application
    • 8.2.3. By Country
  • 8.3. Asia Pacific: Country Analysis
    • 8.3.1. China Automotive Gesture Recognition Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Technology
        • 8.3.1.2.2. By Application
    • 8.3.2. India Automotive Gesture Recognition Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Technology
        • 8.3.2.2.2. By Application
    • 8.3.3. Japan Automotive Gesture Recognition Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Technology
        • 8.3.3.2.2. By Application
    • 8.3.4. South Korea Automotive Gesture Recognition Market Outlook
      • 8.3.4.1. Market Size & Forecast
        • 8.3.4.1.1. By Value
      • 8.3.4.2. Market Share & Forecast
        • 8.3.4.2.1. By Technology
        • 8.3.4.2.2. By Application
    • 8.3.5. Australia Automotive Gesture Recognition Market Outlook
      • 8.3.5.1. Market Size & Forecast
        • 8.3.5.1.1. By Value
      • 8.3.5.2. Market Share & Forecast
        • 8.3.5.2.1. By Technology
        • 8.3.5.2.2. By Application

9. Middle East & Africa Automotive Gesture Recognition Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Technology
    • 9.2.2. By Application
    • 9.2.3. By Country
  • 9.3. Middle East & Africa: Country Analysis
    • 9.3.1. Saudi Arabia Automotive Gesture Recognition Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Technology
        • 9.3.1.2.2. By Application
    • 9.3.2. UAE Automotive Gesture Recognition Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Technology
        • 9.3.2.2.2. By Application
    • 9.3.3. South Africa Automotive Gesture Recognition Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Technology
        • 9.3.3.2.2. By Application

10. South America Automotive Gesture Recognition Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Technology
    • 10.2.2. By Application
    • 10.2.3. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Automotive Gesture Recognition Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Technology
        • 10.3.1.2.2. By Application
    • 10.3.2. Colombia Automotive Gesture Recognition Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Technology
        • 10.3.2.2.2. By Application
    • 10.3.3. Argentina Automotive Gesture Recognition Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Technology
        • 10.3.3.2.2. By Application

11. Market Dynamics

  • 11.1. Drivers
  • 11.2. Challenges

12. Market Trends & Developments

  • 12.1. Merger & Acquisition (If Any)
  • 12.2. Product Launches (If Any)
  • 12.3. Recent Developments

13. Global Automotive Gesture Recognition Market: SWOT Analysis

14. Porter's Five Forces Analysis

  • 14.1. Competition in the Industry
  • 14.2. Potential of New Entrants
  • 14.3. Power of Suppliers
  • 14.4. Power of Customers
  • 14.5. Threat of Substitute Products

15. Competitive Landscape

  • 15.1. Cipia Vision Ltd.
    • 15.1.1. Business Overview
    • 15.1.2. Products & Services
    • 15.1.3. Recent Developments
    • 15.1.4. Key Personnel
    • 15.1.5. SWOT Analysis
  • 15.2. Cognitec Systems GmbH
  • 15.3. Continental AG
  • 15.4. NXP Semiconductors
  • 15.5. Qualcomm Technologies, Inc.
  • 15.6. Samsung Electronics Co., Ltd
  • 15.7. Sony Corporation
  • 15.8. Synaptics Incorporated
  • 15.9. Usens Inc
  • 15.10. Visteon Corporation.

16. Strategic Recommendations

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